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Takuo Matsubara, Jeremias Knoblauch, François-Xavier Briol & Chris. J. Oates. (2023) Generalized Bayesian Inference for Discrete Intractable Likelihood. Journal of the American Statistical Association 0:0, pages 1-11.
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Luiza S. C. Piancastelli, Nial Friel, Wagner Barreto-Souza & Hernando Ombao. (2023) Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly Intractable Bayesian Inference. Journal of Computational and Graphical Statistics 32:2, pages 483-500.
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Reza Mohammadi, Hélène Massam & Gérard Letac. (2023) Accelerating Bayesian Structure Learning in Sparse Gaussian Graphical Models. Journal of the American Statistical Association 118:542, pages 1345-1358.
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Jaewoo Park, Yeseul Jeon, Minsuk Shin, Minjeong Jeon & Ick Hoon Jin. (2022) Bayesian Shrinkage for Functional Network Models, With Applications to Longitudinal Item Response Data. Journal of Computational and Graphical Statistics 31:2, pages 360-377.
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Alan Julian Izenman. (2021) Sampling Algorithms for Discrete Markov Random Fields and Related Graphical Models. Journal of the American Statistical Association 116:536, pages 2065-2086.
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Jaewoo Park. (2021) Bayesian indirect inference for models with intractable normalizing functions. Journal of Statistical Computation and Simulation 91:2, pages 300-315.
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Linda S. L. Tan & Nial Friel. (2020) Bayesian Variational Inference for Exponential Random Graph Models. Journal of Computational and Graphical Statistics 29:4, pages 910-928.
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Jaewoo Park & Murali Haran. (2020) A Function Emulation Approach for Doubly Intractable Distributions. Journal of Computational and Graphical Statistics 29:1, pages 66-77.
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Articles from other publishers (26)
Qian Zhang & Faming Liang. (2024) Bayesian Analysis of Exponential Random Graph Models Using Stochastic Gradient Markov Chain Monte Carlo. Bayesian Analysis 19:2.
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Emilienne Grzegorczyk, Alain Caizergues, Cyril Eraud, Charlotte Francesiaz, Kévin Le Rest & Matthieu Guillemain. (2024) Demographic and evolutionary consequences of hunting of wild birds. Biological Reviews.
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Daniel K. Sewell. (2024) Posterior Shrinkage Towards Linear Subspaces. Bayesian Analysis -1:-1.
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Joshua Hoegerman & Dylan Losey. (2023) Reward Learning With Intractable Normalizing Functions. IEEE Robotics and Automation Letters 8:11, pages 7511-7518.
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Zifei Han, Qiang Zhang, Min Wang, Keying Ye & Ming‐Hui Chen. (2023) On efficient posterior inference in normalized power prior Bayesian analysis. Biometrical Journal 65:5.
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Tyler Brooke-Wilson. (2023) How Is Perception Tractable?. Philosophical Review 132:2, pages 239-292.
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Christian Hirsch, Ayush Bharti, Troels Pedersen & Rasmus Waagepetersen. (2023) Bayesian Inference for Stochastic Multipath Radio Channel Models. IEEE Transactions on Antennas and Propagation 71:4, pages 3460-3472.
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Huibin Weng & Olivier Parent. (2023) Beyond homophilic dyadic interactions: the impact of network formation on individual outcomes. Statistics and Computing 33:2.
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Guanyang Wang. (2022) On the theoretical properties of the exchange algorithm. Bernoulli 28:3.
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D Vats, F B Gonçalves, K Łatuszyński & G O Roberts. (2022) Efficient Bernoulli factory Markov chain Monte Carlo for intractable posteriors. Biometrika 109:2, pages 369-385.
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Fernando Llorente, Luca Martino, Jesse Read & David Delgado-Gómez. (2022) Optimality in noisy importance sampling. Signal Processing 194, pages 108455.
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Andrew A. Manderson & Robert J. B. Goudie. (2022) A numerically stable algorithm for integrating Bayesian models using Markov melding. Statistics and Computing 32:2.
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Jaewoo Park, Won Chang & Boseung Choi. (2022) An interaction Neyman–Scott point process model for coronavirus disease-19. Spatial Statistics 47, pages 100561.
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Jiaxun Chen, Athanasios C. Micheas & Scott H. Holan. (2022) Hierarchical Bayesian modeling of spatio-temporal area-interaction processes. Computational Statistics & Data Analysis 167, pages 107349.
Crossref
Crossref
Yang Liu & Robert J. B. Goudie. (2021) Stochastic approximation cut algorithm for inference in modularized Bayesian models. Statistics and Computing 32:1.
Crossref
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Medha Agarwal, Dootika Vats & Víctor Elvira. (2022) A principled stopping rule for importance sampling. Electronic Journal of Statistics 16:2.
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Jaewoo Park, Ick Hoon Jin & Michael Schweinberger. (2022) Bayesian model selection for high-dimensional Ising models, with applications to educational data. Computational Statistics & Data Analysis 165, pages 107325.
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Luiz Max Carvalho & Joseph G. Ibrahim. (2021) On the normalized power prior. Statistics in Medicine 40:24, pages 5251-5275.
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Zhou LanBrian J. Reich & Dipankar Bandyopadhyay. (2021) A spatial Bayesian semiparametric mixture model for positive definite matrices with applications in diffusion tensor imaging. Canadian Journal of Statistics 49:1, pages 129-149.
Crossref
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Dayi Li & Pauline Barmby. (2021) Gibbs point process model for young star clusters in M33. Monthly Notices of the Royal Astronomical Society 501:3, pages 3472-3489.
Crossref
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George G. Vega Yon, Andrew Slaughter & Kayla de la Haye. (2021) Exponential random graph models for little networks. Social Networks 64, pages 225-238.
Crossref
Crossref
Michael Schweinberger, Pavel N. Krivitsky, Carter T. Butts & Jonathan R. Stewart. (2020) Exponential-Family Models of Random Graphs: Inference in Finite, Super and Infinite Population Scenarios. Statistical Science 35:4.
Crossref
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Felipe Medina-Aguayo, Daniel Rudolf & Nikolaus Schweizer. (2020) Perturbation bounds for Monte Carlo within Metropolis via restricted approximations. Stochastic Processes and their Applications 130:4, pages 2200-2227.
Crossref
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Alberto Caimo & Isabella Gollini. (2020) A multilayer exponential random graph modelling approach for weighted networks. Computational Statistics & Data Analysis 142, pages 106825.
Crossref
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Lawrence Middleton, George Deligiannidis, Arnaud Doucet & Pierre E. Jacob. (2020) Unbiased Markov chain Monte Carlo for intractable target distributions. Electronic Journal of Statistics 14:2.
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Michael Habeck, Daniel Rudolf & Björn Sprungk. (2020) Stability of doubly-intractable distributions. Electronic Communications in Probability 25:none.
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